Across the nation, Law Enforcement Organizations (LEOs) are inundated every day with photographic and video evidence in their Criminal Investigation Divisions (CID). Numerous agencies have shared with me that in more than 30% of their CID cases the ONLY evidence they have is a photo or video of an unknown suspect, received from a variety of sources, including surveillance cameras, RING doorbells, and smartphones. Typically, law enforcement resorts to sharing these images via social media, in hopes that someone will recognize the individual. Hoping for a random identification is not the most solid investigation strategy, but there is now a way those same images can become viable leads for Investigators to pursue, to catch the offenders and get them off the streets.

NEC’s NeoFace® WideNet is designed to assist law enforcement agencies by turning their mugshot repositories interfaced with our NIST award winning Facial Recognition solution into Facial Recognition as a Service for Law Enforcement. For the first time, multiple agencies will be able to share their mugshots with each other, AND utilize NEC’s powerful NeoFace Facial Recognition–the industry’s fastest and most accurate face matching algorithm. A key benefit to the criminal case investigation is the advantage of quick processing of facial evidence coupled with its ability to rapidly generate a list of persons of interest. Speedy identification means NEC’s NeoFace WideNet-hosted service saves valuable time in the investigations of cases containing facial video evidence, thus reducing the investigator’s caseload.

Designed to be highly scalable as well as affordable, NeoFace WideNet is for small, medium, and the largest of law enforcement agencies. Because this service changes the model for this purchase from CAPEX to OPEX, this lowers acquisition costs and is enabling agencies of all sizes to utilize the technology.
NeoFace WideNet customers see an immediate return on investment with the reduction of investigation time and reduced investigator workloads. But most importantly, this crime fighting solution helps turn those previously unusable images into hard evidence to solve crimes and help close cases.

Just as AFIS revolutionized fingerprint evidence over 30 years ago, NeoFace WideNet is poised to positively impact law enforcement by effectively doing the same thing with photo and video evidence.
If your organization is interested in solving more crimes and arming your investigators with the tools to be more efficient, check this out.

Free Case StudyIrving Police Department (IPD)

Learn how City of Irving Police department worked with NEC to increase success rates in suspect identification using facial recognition.

Today’s air travel is marred by long lines, time-consuming security checks, and constant stress. Travelers are queued up at the check-in counter, at the self-service kiosk, when they drop off their bags, when they navigate the TSA screening lines and when they board the plane.

The need for greater security in crowded, public places is changing the way businesses are engaging with customers. That’s true whether it’s an airport, stadium, cruise line or a border security check. At these, and many other high-traffic sites, the goals are the same – quickly and accurately verify the customer’s identity and provide the necessary service.

As with many of NEC’s solutions, NeoFace® Express has patented technology that allows for the capture of the best facial image for processing while providing these additional unique features and values:

Efficiency – measuring the time spent interacting with the station

Satisfaction – measuring how satisfied the user is after use of the station

Acquisition Rate – measuring the success of image acquisition; and

Accuracy – measuring the true identification rates

NeoFace Express is a key component of NEC’s single, unified biometrics key solution that provides a secure, frictionless and personalized customer experience. With a simple scan of the face, a unified key is created that allows consumers to enjoy fast, easy access to areas such as; airport lounges, theme park attractions and sporting events, while business and government agencies benefit by improving operating efficiencies and heightened security.

Traveling soon? Going to a game? Visiting a theme park? Look for the NEC’s NeoFace Express soon at these and more sites near you.
For additional information and to stay up on the latest, follow us on Twitter and check out our NEC Advanced Recognition Systems page.

In each case, the speed and accuracy of the identification is critical to the success of the mission.

To meet these challenges, recent significant advancements in facial recognition technology have made it more efficient and accurate from much greater distances. Ultimately, the value proposition for facial recognition comes down to people, patterns and predictions, according to Benji Hutchinson, Senior Director for Washington, D.C. Operations at NEC Corporation of America.

Last month, our own VP of Retail Solutions, Matt Worley predicted some emerging retail technologies he expected to see at NRF 2018 Retail’s Big Show in New York City. He described five technologies that, when combined effectively, will let in-store retailers create a frictionless, more personalized experience for their customers, all while making their operations more efficient and cost-effective.

Now that the show is over, I can confirm Matt’s prediction of where in-store retail is headed this year, namely that retailers will apply these technologies to make the entire store more customer-aware.

Store and Customer Analytics
When a shopper visits an online store, the retailer knows where they clicked, what they looked at, what they read, how long they stayed on each page—and that’s just for starters. The site collects data on the items you put in your “cart,” the ones you removed, and what you replaced them with. All this data is analyzed to reveal the customer’s behaviors and underlying preferences, allowing the experience to be customized on future encounters.

So, why shouldn’t brick-and-mortar retailers gain the same type of insights? It’s all about analyzing and applying the data collected in the store.. Retailers can use it to optimize inventory management and store personnel scheduling—traditional back office functions—but also to elevate the customer’s shopping experience to levels they are only accustomed to finding online.

Shelf Analytics and Order Optimization
Show attendees were very excited about potential applications of shelf analytics. For example, a fresh foods store can keep track of how long items have been on the shelf or in the cooler, to better maintain freshness levels of the inventory. Today, many retailers use RFID tags—to better manage inventory levels and loss prevention. Using RFID tags isn’t practical. Not only are they expensive from an investment standpoint they are wasteful, as tags typically get thrown in the trash when the customer discards the packaging at home.

A less expensive and more environment-friendly alternative is NEC’s machine-learning order optimization application that helps retailers predict sales numbers to reduce inventory or overstock shelves. Shelf inventory and digital signage solutions can identify an item as the customer removes it from the shelf, then determine whether the customer puts the item is the basket or returns it to the shelf. Once in the cart, nearby displays can offer helpful tips, related videos, coupons or other shopping assistance, all based on the item selected.

By tracking all the items in the basket, the solution helps manage inventory control, ordering and stocking, not to mention preparing the customer for the checkout counter.

Such solutions can be adapted to a wide range of retail verticals and applications, to promote additional purchases, reduce waste, automate and optimize inventory orders, and more. All the while, they promote a healthier bottom line, make operations more efficient, and improve the customer experience—just like an online experience does or better.

It’s All About Data, Analytics and Intelligence
This year the focus of the show was less about hardware and more about artificial intelligence, data gathering and mining and analytics. Yes, you need hardware devices to perform all these things. Interactive kiosks, IP cameras, smart tags and displays and so on, not to mention the enterprise software and storage. What it really comes down too, is the ability to connect all that data to the back office, taking and using it to make data-driven decisions based on actionable insights in the store.

Here retailers can see actual, functioning AR and AI retail solutions like CaliBurger. If NRF 2018 was any indication, this year’s retailers will be focused on data, analytics, and intelligence. From the customer perspective, it’s all about the store experience and convenience these solutions bring. From the retailer’s perspective, it’s about bringing customers back from online and into the store. But what it’s really about, is making the entire store smarter and more efficient.

What’s does retail intelligence run on? A robust foundation on which to gather, store, analyze and act upon the resulting insights. Watch this space for articles about the NEC Smart Enterprise solutions that provides a secure foundation for retailers and other industries.

Free White PaperDigitizing the Shopping Journey

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